Illia Horenko

34 papers Journal 32Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
An entropy-optimal path to humble AI.
CoRR
Davide Bassetti, Lukás Pospísil, Michael Groom, Terence J. O'Kane, Illia Horenko
2025 J jnl
Fast and close Shannon entropy approximation.
CoRR
Illia Horenko, Davide Bassetti, Lukás Pospísil
2025 J jnl
On entropic sparsification of neural networks.
Pattern Recognit. Lett.
Tin Barisin, Illia Horenko
2025 J jnl
Toward Generalized Entropic Sparsification for Convolutional Neural Networks.
Neural Comput.
Tin Barisin, Illia Horenko
2024 J jnl
Gauge-Optimal Approximate Learning for Small Data Classification.
Neural Comput.
Edoardo Vecchi, Davide Bassetti, Fabio Graziato, Lukás Pospísil, Illia Horenko
2024 J jnl
On Entropic Learning from Noisy Time Series in the Small Data Regime.
Entropy
Davide Bassetti, Lukás Pospísil, Illia Horenko
2024 J jnl
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning.
J. Comput. Sci.
Edoardo Vecchi, Juraj Kardos, Malik Lechekhab, Andreas Wächter, Illia Horenko, Olaf Schenk
2024 J jnl
Towards Generalized Entropic Sparsification for Convolutional Neural Networks.
CoRR
Tin Barisin, Illia Horenko
2023 J jnl
Gauge-optimal approximate learning for small data classification problems.
CoRR
Edoardo Vecchi, Davide Bassetti, Fabio Graziato, Lukás Pospísil, Illia Horenko
2023 J jnl
Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction.
CoRR
Illia Horenko, Lukás Pospísil
2023 J jnl
On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers.
CoRR
Illia Horenko
2022 J jnl
Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography.
J. Imaging
Illia Horenko, Lukás Pospísil, Edoardo Vecchi, Steffen Albrecht, Alexander Gerber, Beate Rehbock, Albrecht Stroh, Susanne Gerber
2022 J jnl
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems.
Neural Comput.
Edoardo Vecchi, Lukás Pospísil, Steffen Albrecht, Terence J. O'Kane, Illia Horenko
2021 J jnl
Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics.
Frontiers Artif. Intell.
Susanne Gerber, Lukás Pospísil, Stanislav Sys, Charlotte Hewel, Ali Torkamani, Illia Horenko
2021 J jnl
Robust learning of data anomalies with analytically-solvable entropic outlier sparsification.
CoRR
Illia Horenko
2020 J jnl
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning.
Neural Comput.
Illia Horenko
2020 J jnl
On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principle.
CoRR
Illia Horenko, Ganna Marchenko, Patrick Gagliardini
2020 J jnl
On a scalable entropic breaching of the overfitting barrier in machine learning.
CoRR
Illia Horenko
2018 J jnl
Towards a Computationally Tractable Maximum Entropy Principle for Nonstationary Financial Time Series.
SIAM J. Financial Math.
Ganna Marchenko, Patrick Gagliardini, Illia Horenko
2015 J jnl
Statistical Regression Analysis of Threshold Excesses with Systematically Missing Covariates.
Multiscale Model. Simul.
Olga Kaiser, Dimitri Igdalov, Illia Horenko
2013 J jnl
An Adaptive Markov Chain Monte Carlo Approach to Time Series Clustering of Processes with Regime Transition Behavior.
Multiscale Model. Simul.
Jana de Wiljes, Andrew J. Majda, Illia Horenko
2011 J jnl
On Analysis of Nonstationary Categorical Data Time Series: Dynamical Dimension Reduction, Model Selection, and Applications To Computational Sociology.
Multiscale Model. Simul.
Illia Horenko
2010 J jnl
Finite Element Approach to Clustering of Multidimensional Time Series.
SIAM J. Sci. Comput.
Illia Horenko
2010 J jnl
Optimal Allocation of a Futures Portfolio Utilizing Numerical Market Phase Detection.
SIAM J. Financial Math.
Lars Putzig, Dirk Becherer, Illia Horenko
2009 J jnl
On Metastable Conformational Analysis of Nonequilibrium Biomolecular Time Series.
Multiscale Model. Simul.
Illia Horenko, Christof Schütte
2008 J jnl
Automated Generation of Reduced Stochastic Weather Models I: Simultaneous Dimension and Model Reduction for Time Series Analysis.
Multiscale Model. Simul.
Illia Horenko, Rupert Klein, Stamen Dolaptchiev, Christof Schütte
2008 J jnl
Likelihood-Based Estimation of Multidimensional Langevin Models and Its Application to Biomolecular Dynamics.
Multiscale Model. Simul.
Illia Horenko, Christof Schütte
2008 J jnl
Macroscopic Dynamics of Complex Metastable Systems: Theory, Algorithms, and Application to B-DNA.
SIAM J. Appl. Dyn. Syst.
Illia Horenko, Evelyn Dittmer, Filip Lankas, John Maddocks, Philipp Metzner, Christof Schütte
2007 J jnl
Identification of biomolecular conformations from incomplete torsion angle observations by hidden markov models.
J. Comput. Chem.
Alexander Fischer, Sonja Waldhausen, Illia Horenko, Eike Meerbach, Christof Schütte
2006 — conf
Adaptive Approach for Modelling Variability in Pharmacokinetics.
CompLife
Andrea Y. Weiße, Illia Horenko, Wilhelm Huisinga
2006 J jnl
Automated Model Reduction for Complex Systems Exhibiting Metastability.
Multiscale Model. Simul.
Illia Horenko, Evelyn Dittmer, Alexander Fischer, Christof Schütte
2006 — conf
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models.
CompLife
Illia Horenko, Johannes Schmidt-Ehrenberg, Christof Schütte
2005 J jnl
Adaptive approach for nonlinear sensitivity analysis of reaction kinetics.
J. Comput. Chem.
Illia Horenko, Sönke Lorenz, Christof Schütte, Wilhelm Huisinga
2003 J jnl
Adaptive integration of molecular dynamics.
J. Comput. Chem.
Illia Horenko, Martin Weiser